EP2738994A1 - Procédé et appareil client pour recevoir une vidéo en transmission à débit variable HTTP - Google Patents

Procédé et appareil client pour recevoir une vidéo en transmission à débit variable HTTP Download PDF

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Publication number
EP2738994A1
EP2738994A1 EP12306495.8A EP12306495A EP2738994A1 EP 2738994 A1 EP2738994 A1 EP 2738994A1 EP 12306495 A EP12306495 A EP 12306495A EP 2738994 A1 EP2738994 A1 EP 2738994A1
Authority
EP
European Patent Office
Prior art keywords
transmission
statistical information
rate
server
client
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP12306495.8A
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German (de)
English (en)
Inventor
Danny De Vleeschauwer
Johan De Vriendt
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Alcatel Lucent SAS
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Alcatel Lucent SAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Alcatel Lucent SAS filed Critical Alcatel Lucent SAS
Priority to EP12306495.8A priority Critical patent/EP2738994A1/fr
Priority to JP2015544425A priority patent/JP6147866B2/ja
Priority to PCT/EP2013/074530 priority patent/WO2014082942A1/fr
Priority to CN201380062211.1A priority patent/CN104813638A/zh
Priority to KR1020157017423A priority patent/KR20150091368A/ko
Priority to US14/648,441 priority patent/US9357273B2/en
Publication of EP2738994A1 publication Critical patent/EP2738994A1/fr
Withdrawn legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/60—Network structure or processes for video distribution between server and client or between remote clients; Control signalling between clients, server and network components; Transmission of management data between server and client, e.g. sending from server to client commands for recording incoming content stream; Communication details between server and client 
    • H04N21/63—Control signaling related to video distribution between client, server and network components; Network processes for video distribution between server and clients or between remote clients, e.g. transmitting basic layer and enhancement layers over different transmission paths, setting up a peer-to-peer communication via Internet between remote STB's; Communication protocols; Addressing
    • H04N21/637—Control signals issued by the client directed to the server or network components
    • H04N21/6373—Control signals issued by the client directed to the server or network components for rate control, e.g. request to the server to modify its transmission rate
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/60—Network streaming of media packets
    • H04L65/61—Network streaming of media packets for supporting one-way streaming services, e.g. Internet radio
    • H04L65/613—Network streaming of media packets for supporting one-way streaming services, e.g. Internet radio for the control of the source by the destination
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/80—Responding to QoS
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/238—Interfacing the downstream path of the transmission network, e.g. adapting the transmission rate of a video stream to network bandwidth; Processing of multiplex streams
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/239—Interfacing the upstream path of the transmission network, e.g. prioritizing client content requests
    • H04N21/2393—Interfacing the upstream path of the transmission network, e.g. prioritizing client content requests involving handling client requests
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/266—Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system, merging a VOD unicast channel into a multicast channel
    • H04N21/2662—Controlling the complexity of the video stream, e.g. by scaling the resolution or bitrate of the video stream based on the client capabilities
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/437—Interfacing the upstream path of the transmission network, e.g. for transmitting client requests to a VOD server
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/438—Interfacing the downstream path of the transmission network originating from a server, e.g. retrieving encoded video stream packets from an IP network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
    • H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/44209—Monitoring of downstream path of the transmission network originating from a server, e.g. bandwidth variations of a wireless network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/60—Network structure or processes for video distribution between server and client or between remote clients; Control signalling between clients, server and network components; Transmission of management data between server and client, e.g. sending from server to client commands for recording incoming content stream; Communication details between server and client 
    • H04N21/63—Control signaling related to video distribution between client, server and network components; Network processes for video distribution between server and clients or between remote clients, e.g. transmitting basic layer and enhancement layers over different transmission paths, setting up a peer-to-peer communication via Internet between remote STB's; Communication protocols; Addressing
    • H04N21/637—Control signals issued by the client directed to the server or network components
    • H04N21/6377—Control signals issued by the client directed to the server or network components directed to server
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/60—Network structure or processes for video distribution between server and client or between remote clients; Control signalling between clients, server and network components; Transmission of management data between server and client, e.g. sending from server to client commands for recording incoming content stream; Communication details between server and client 
    • H04N21/63—Control signaling related to video distribution between client, server and network components; Network processes for video distribution between server and clients or between remote clients, e.g. transmitting basic layer and enhancement layers over different transmission paths, setting up a peer-to-peer communication via Internet between remote STB's; Communication protocols; Addressing
    • H04N21/643—Communication protocols
    • H04N21/64322—IP

Definitions

  • the present invention relates to the field of HTTP Adaptive Streaming (HAS), and in particular to the issue of determining the nominal bit rate of chunks to be requested.
  • HTTP Adaptive Streaming HAS
  • HAS HTTP (Hyper Text Transport Protocol) Adaptive Streaming
  • HTTP Hyper Text Transport Protocol
  • Adaptive Streaming An important technique to deliver video over the open Internet is HAS (HTTP (Hyper Text Transport Protocol) Adaptive Streaming).
  • HTTP Hyper Text Transport Protocol
  • Adaptive Streaming This technique has the advantage that it is easily deployable, because it traverses firewalls more easily than other protocols, because it has inherent congestion control which it inherits from TCP (Transport Control Protocol), and because it can make use of the existing HTTP infrastructure, in particular HTTP caches and CDN (Content Distribution Network) nodes.
  • TCP Transmission Control Protocol
  • CDN Content Distribution Network
  • video is encoded at different bit rates and the client can switch between these bit rates at specified moments in time.
  • the interval of video between two consecutive switching times is referred to as a video segment, while the bit strings associated with that interval are referred to as chunks ( i.e. , there are as many different chunks available as there are bit rate versions).
  • a method for receiving an HTTP adaptive streaming video from a server comprising at a client, operatively connected to the server: upon receiving a chunk of the video, determining a current rate of transmission for transmission from the server to the client; obtaining statistical information pertaining to an expected future rate of transmission, in function of at least the current rate of transmission; deriving a target rate of transmission from the statistical information; and requesting a subsequent chunk of the program in accordance with the target rate of transmission.
  • the network between the client and the server may include a wireless link (e.g., an IEEE 802.11 WLAN link, a mobile link such as UMTS, 3G, LTE, ...) and/or a wired link (e.g. an IEEE 802.3 "Ethernet” link, a PLC link, an xDSL link, a coax link, etc.).
  • a wireless link e.g., an IEEE 802.11 WLAN link, a mobile link such as UMTS, 3G, LTE, .
  • a wired link e.g. an IEEE 802.3 "Ethernet" link, a PLC link, an xDSL link, a coax link, etc.
  • the invention can be implemented with an easy to assess metric, viz . the transmission rate on the network link from the server to the client.
  • the statistical information comprises a histogram
  • the deriving comprises calculating a predetermined quantile from the histogram
  • the method not only provides an appropriate extrapolation of current (and optionally past) network performance to the future, but it also implies a certain level of confidence that the future network performance is not being overestimated.
  • the latter point is importance because an overestimation of network performance, and the associated request of a chunk that is too large to be delivered in a timely manner in view of the actual future network performance, may lead to a buffer underrun and unacceptable deterioration in the quality of experience for the end user of the HAS stream (possibly even "freezing" or complete disappearance) of the video images).
  • quantiles may be selected, according to the requirements of the operator and/or the user.
  • the quantile is selected to cover at least the 50% best cases (at this point, the selected quantile is the median), or the 75% best cases (i.e., the quantile is the 25-percentile), or even the 95% best cases (i.e., the quantile is the 95-percentile), or any appropriate quantile thereinbetween.
  • the quantile is one of a 5-percentile, a 1-percentile, and a .1-percentile.
  • the method according to the present invention further comprises updating the statistical information with the determined current rate of transmission.
  • the system is self-learning, in the sense that observed patterns of network performance are cumulatively stored as statistical information, to improve subsequent determinations of target rates.
  • the knowledge is built up (and optionally aged) over several or all sessions of a client.
  • the statistical information is obtained from and updated at a network node that is separate from the client, the network node being configured to store statistical information from a plurality of clients.
  • the rate of transmission information is stored at the network node in association with auxiliary information, such as an associated network type, a time of day, or a day of week.
  • the obtaining of the statistical information takes place upon starting up the client.
  • the client device it is part of the boot or initialization sequence of the client device to obtain the most recent relevant statistics from the statistics database (which may be stored on a component internal to the client, or on a separate network node which optionally aggregates statistics from various clients).
  • the statistics database which may be stored on a component internal to the client, or on a separate network node which optionally aggregates statistics from various clients.
  • the obtaining of the statistical information takes place at intervals.
  • the statistical information is provided to the client at certain time intervals. These intervals may be fixed, variable over time in a predetermined manner, or even depending on certain observed or anticipated changes in network conditions.
  • the transmission of statistical information may happen at the initiative of the client (i.e., the client pulls the relevant information from the database, for instance by polling the server hosting the database), or at the initiative of a server (i.e., the server pushes the updates of the statistical information to one or more clients).
  • this embodiment avoids the use of outdated statistics in the calculation of the required quality level for HAS chunks to be requested.
  • a computer program product comprising code means configured to execute the method as described above.
  • an apparatus for receiving an HTTP adaptive streaming video from a server comprising: a network interface adapted to operatively connect the apparatus to the server; a database interface adapted to operatively connect the apparatus to a statistics database; and a processor, operatively connected to the network interface and the database interface, the processor being configured to: determine a current rate of transmission from the server to the apparatus; obtain statistical information pertaining to an expected future rate of transmission, from the statistics database, in function of the current rate of transmission; derive a target rate of transmission from the statistical information; and request a subsequent chunk of the program from the server in accordance with the target rate of transmission.
  • the statistical information comprises a histogram
  • the deriving comprises calculating a predetermined quantile from the histogram
  • the quantile is one of a 5-percentile, a 1-percentile, and a .1-percentile.
  • the processor is further configured to procure the determined current rate of transmission to the statistics database.
  • the apparatus according to the present invention further comprises the statistics database, operatively connected to the database interface.
  • the client apparatus does not have to interface with an external database entity to operate in accordance with the principles of the present invention.
  • a set-top box comprising the apparatus as described above.
  • an HAS client monitors the available network throughput it sees, in particular the throughput offered by TCP, and tries to match the video bit rate (for the next chunk) to this available network throughput.
  • the client needs to maintain a play-out buffer.
  • FIGs 1 and 2 illustrate the rate decision algorithm (RDA) which governs the client's decisions.
  • the client downloads the next chunk in such a version that the bytes needed by the decoder are already received some time before the moment at which the decoder needs them.
  • the illustrated content receiving curve exhibits sharp steps, which represents the fact that the decoder empties its data buffer by chunks; the consumption of a single chunk is represented by a vertical segment of the curve, while the time between the consumption of two consecutive chunks is represented by a horizontal segment of the curve.
  • the present invention concerns a method and an apparatus that use improved rate decision algorithms.
  • the invention will now be further explained with reference to a rate decision algorithm that uses statistical information pertaining to network throughput (from server to client).
  • Figure 3 illustrates this embodiment.
  • the current version of Pr[T [A,.] t [A,.]
  • T [B,A] t [B,A]
  • This strategy may readily be combined with known design principles of traditional decision algorithms.
  • Pr[T [A,.] t [A,.]
  • T [B,A] t [B,A]
  • the RDA according to the invention can predict the throughput evolution better than traditional algorithms can, and hence, it can make better decisions.
  • Equation 1 provides statistical information about the transmission rate under the form of an estimated conditional probability density function.
  • the statistical information is preferably used in a discretized form, which will be referred to herein as "histogram information”.
  • the vector space of (K+1)-dimensional vectors is quantized in bins (covering the complete vector space, where the bins can be rectangular or have any other shape), where K is the number of past interval that are considered.
  • K is the number of past interval that are considered.
  • the probability value of each bin (where all probabilities sum to 1 before multiplication) is multiplied by ⁇ and after it is determined in which of the bins the observed vector (t [A,.], t [B,A] , t [C,B] , ...) falls (where t [B,A] , t [C,B] , ... are the measured throughputs in K intervals prior to the decision point and t [A,.] is the throughput in the interval after the decision point), the probability value of that particular bin is augmented by (1- ⁇ ) (ensuring that the sum of all probabilities remains 1 after the updating process).
  • Pr T A . t A .
  • the knowledge associated with the evolution of the throughput given the past behavior of the throughput does not only depend on the past throughputs T k , but also on one or more other parameters, such as, the network over which the video is downloaded (e.g., WiFi, 3G or LTE), the time of day (e.g., busy hour, non busy hour), the SINR (signal to interference and noise) value (in case of wireless) and the number of competing clients (if known), etc.
  • the network over which the video is downloaded e.g., WiFi, 3G or LTE
  • the time of day e.g., busy hour, non busy hour
  • SINR signal to interference and noise
  • Figure 4 provides a flow chart of an embodiment of the method according to the present invention.
  • the flow chart illustrates steps to be taken at the client side, the client being operatively connected to a server (for instance in the general layout illustrated in Figure 5 ).
  • a preliminary first step 410 the client receives a chunk of the video of interest (as a result of a previous request, not illustrated). Upon receiving this chunk, the client determines 420 a current transmission rate R current for transmission from the server to the client.
  • R current a current transmission rate
  • Figure 4 only refers to a determination of the current rate of transmission. It shall be obvious to the skilled reader that the invention works in a fully analogous way when the method relies on multiple transmission rate observations, i.e. for a set of the past K chunks. In this case, the client stores the relevant previous values for future use.
  • the client On the basis of at least the current level of network performance R current (and optionally over the last K received chunks), the client obtains 430 statistical information pertaining to an expected future level of network performance.
  • the client may for example obtain the probability density function as described above, preferably parametrized in some appropriate form, or a discretized form of histogram information.
  • the client derives a target rate of transmission R target from the statistical information 440, for instance a particular quantile of the probability density function or histogram information, and requests 450 a subsequent chunk of the video in accordance with the target rate of transmission.
  • a target rate of transmission R target from the statistical information 440, for instance a particular quantile of the probability density function or histogram information, and requests 450 a subsequent chunk of the video in accordance with the target rate of transmission.
  • the latest observation of transmission rate at the client is preferably fed back to the statistics database to keep the latter up to date, for example according to the scheme described above (not illustrated in Figure 4 ).
  • the current level of network performance and one or more previous observed levels of network performance are combined to select the appropriate statistics.
  • particular patterns in the evolution of network performance may be indicative of particular network types, or of particular recurring events pertaining to the usage of the network.
  • additional information is used to select the appropriate statistics.
  • additional information are time of day and the day of the week. Indeed, given the fact that network performance may be severely influenced by the instantaneous number of active users, certain patterns in network usage, which may recur on a daily or weekly basis, can guide the choice of the most appropriate statistics.
  • Figure 5 provides a schematic overview of a network comprising an apparatus according to an embodiment of the present invention.
  • the illustrated network comprises a client 510 and a server 530, operatively connected to each other via a network 550, which may include an access network and a core network, such as the Internet.
  • the server 530 will not be described in detail.
  • the client 510 has a network interface 515.
  • the term "interface" designates the necessary hardware and software required to establish data communication connectivity across the various layers of the protocol stack, as is well known to a person skilled in the art. Preferably, standardized protocols are used.
  • An access interface may for instance include an interface for an xDSL, xPON, WMAN, or 3G link.
  • a LAN (Local Area Network) interface may for instance include an interface for one or more of an IEEE 802.3 "Ethernet” link, an IEEE 802.11 "Wireless LAN” link.
  • a PAN (Personal Area Network) interface may for instance include a USB interface or a Bluetooth interface.
  • the network connection 550 is used to relay requests (in particular, requests for individual chunks of the desired program) from the client 510 to the server 530, and to relay content (in particular, the requested chunks) from the server 530 to the client 510.
  • the client apparatus 510 also interfaces with a statistics database 520.
  • the client apparatus 510 comprises a database interface 512.
  • the database interface 512 and the statistics database 520 may be integrated in the client apparatus 510, in particular in the form of nonvolatile memory such as flash memory or a magnetic disk drive.
  • the database interface 512 is illustrated in Figure 5 as being separate from the network interface 515, it is also possible to attach the statistics database 520 directly to the network 550, in which case it could be accessed via the network interface 515.
  • the statistics database 520 may for example be stored in a network attached storage (NAS) infrastructure or in a storage area network (SAN). In this configuration, a single networked statistics database 520 may aggregate the statistics from multiple client apparatus 510, which may lead to more accurate statistics and hence better performance of the inventive method for all the clients involved.
  • NAS network attached storage
  • SAN storage area network
  • the client apparatus 510 further comprises a processor 513, operatively connected to the network interface 515 and the database interface 512, the processor 513 being configured to determine a current level of network performance (e.g., a rate of transmission) for transmission from the server 530 to the client apparatus 510, obtain statistical information pertaining to an expected future rate of transmission from the statistics database 520, in function of the current (and optionally the past K chunks) rate of transmission, derive a target rate of transmission from the statistical information, and request a subsequent chunk of the video from the server 530 in accordance with the target rate of transmission.
  • a current level of network performance e.g., a rate of transmission
  • the processor 513 being configured to determine a current level of network performance (e.g., a rate of transmission) for transmission from the server 530 to the client apparatus 510, obtain statistical information pertaining to an expected future rate of transmission from the statistics database 520, in function of the current (and optionally the past K chunks) rate of transmission, derive a target rate of
  • processors may be provided through the use of dedicated hardware as well as hardware capable of executing software in association with appropriate software.
  • the functions may be provided by a single dedicated processor, by a single shared processor, or by a plurality of individual processors, some of which may be shared.
  • explicit use of the term "processor” or “controller” should not be construed to refer exclusively to hardware capable of executing software, and may implicitly include, without limitation, digital signal processor (DSP) hardware, network processor, application specific integrated circuit (ASIC), field programmable gate array (FPGA), read only memory (ROM) for storing software, random access memory (RAM), and non volatile storage.
  • DSP digital signal processor
  • ASIC application specific integrated circuit
  • FPGA field programmable gate array
  • ROM read only memory
  • RAM random access memory
  • any switches shown in the FIGS. are conceptual only. Their function may be carried out through the operation of program logic, through dedicated logic, through the interaction of program control and dedicated logic, or even manually, the particular technique being selectable by the implementer as more specifically understood from the context.
  • program storage devices e.g., digital data storage media, which are machine or computer readable and encode machine-executable or computer-executable programs of instructions, wherein said instructions perform some or all of the steps of said above-described methods.
  • the program storage devices may be, e.g., digital memories, magnetic storage media such as a magnetic disks and magnetic tapes, hard drives, or optically readable digital data storage media.
  • the embodiments are also intended to cover computers programmed to perform said steps of the above-described methods.

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Databases & Information Systems (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
  • Information Transfer Between Computers (AREA)
  • Telephonic Communication Services (AREA)
  • Computer And Data Communications (AREA)
  • Communication Control (AREA)
EP12306495.8A 2012-11-30 2012-11-30 Procédé et appareil client pour recevoir une vidéo en transmission à débit variable HTTP Withdrawn EP2738994A1 (fr)

Priority Applications (6)

Application Number Priority Date Filing Date Title
EP12306495.8A EP2738994A1 (fr) 2012-11-30 2012-11-30 Procédé et appareil client pour recevoir une vidéo en transmission à débit variable HTTP
JP2015544425A JP6147866B2 (ja) 2012-11-30 2013-11-25 Ｈｔｔｐアダプティブストリーミング動画を受信するための方法およびクライアント装置
PCT/EP2013/074530 WO2014082942A1 (fr) 2012-11-30 2013-11-25 Procédé et appareil client pour recevoir une vidéo de diffusion en flux adaptatif http
CN201380062211.1A CN104813638A (zh) 2012-11-30 2013-11-25 用于接收http自适应流视频的方法和客户端装置
KR1020157017423A KR20150091368A (ko) 2012-11-30 2013-11-25 Http 적응 스트리밍 비디오를 수신하기 위한 방법 및 클라이언트 장치
US14/648,441 US9357273B2 (en) 2012-11-30 2013-11-25 Method and client apparatus for receiving an http adaptive streaming video

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EP12306495.8A EP2738994A1 (fr) 2012-11-30 2012-11-30 Procédé et appareil client pour recevoir une vidéo en transmission à débit variable HTTP

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EP2738994A1 true EP2738994A1 (fr) 2014-06-04

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US20150304734A1 (en) 2015-10-22
JP2016506644A (ja) 2016-03-03
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US9357273B2 (en) 2016-05-31
WO2014082942A1 (fr) 2014-06-05
JP6147866B2 (ja) 2017-06-14

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